Triple

T824720
Position Surface form Disambiguated ID Type / Status
Subject The Island of Doctor Moreau E17828 entity
Predicate mainCharacter P1183 FINISHED
Object Montgomery E28006 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Montgomery | Statement: [The Island of Doctor Moreau, mainCharacter, Montgomery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montgomery
Context triple: [The Island of Doctor Moreau, mainCharacter, Montgomery]
  • A. Montgomery chosen
    Montgomery is a common English and Scottish surname of Norman origin, historically associated with nobility and military figures.
  • B. Montgomery
    Montgomery is a historic market town in Powys, Wales, known for its medieval castle ruins and Georgian architecture.
  • C. Montgomery, Alabama
    Montgomery, Alabama is the state capital known as a pivotal center of the American civil rights movement, including events such as the Montgomery Bus Boycott.
  • D. Phenix City
    Phenix City is a city in eastern Alabama located along the Chattahoochee River, directly across from Columbus, Georgia.
  • E. Gadsden, Alabama
    Gadsden, Alabama is a small industrial city in northeastern Alabama known historically for its manufacturing plants and labor history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab7eb0a08190889463edb0e7bd59 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbad10ae48190af7dcaa8dfff30ec completed March 7, 2026, 11:54 p.m.
Created at: March 1, 2026, 7:38 p.m.